[HTML][HTML] Status, advancements and prospects of deep learning methods applied in forest studies
Deep learning, which has exhibited considerable potential and effectiveness in forest
resource assessment, is vital for comprehending and managing forest resources and …
resource assessment, is vital for comprehending and managing forest resources and …
Cross-Domain Facial Expression Recognition through Reliable Global–Local Representation Learning and Dynamic Label Weighting
Y Gao, Y Cai, X Bi, B Li, S Li, W Zheng - Electronics, 2023 - mdpi.com
Cross-Domain Facial Expression Recognition (CD-FER) aims to develop a facial expression
recognition model that can be trained in one domain and deliver consistent performance in …
recognition model that can be trained in one domain and deliver consistent performance in …
UAVEC-FLchain: Distributed multi-regional jujube orchard joint yield estimation for secure agricultural-IoT applications
In recent years, Internet of Things (IoT) is closely integrated with smart agriculture, providing
better technical guarantee for the growth management and yield estimation of agricultural …
better technical guarantee for the growth management and yield estimation of agricultural …
Application of Sustainable Blockchain Technology in the Internet of Vehicles: Innovation in Traffic Sign Detection Systems
Y Liu, Q Qian, H Zhang, J Li, Y Zhong, NN Xiong - Sustainability, 2023 - mdpi.com
With the rapid development of the Internet of Vehicles (IoV), traffic sign detection plays an
indispensable role in advancing autonomous driving and intelligent transportation …
indispensable role in advancing autonomous driving and intelligent transportation …
RSAM: Byzantine-Robust and Secure Model Aggregation in Federated Learning for Internet of Vehicles using Private Approximate Median
Y He, P Li, J Ni, X Deng, H Lu, J Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In Internet-of-Vehicles (IoVs), Federated Learning (FL) is increasingly used by smart
vehicles to process various sensing data. FL is a collaborative learning approach that …
vehicles to process various sensing data. FL is a collaborative learning approach that …
Superpixel-Based Graph Convolutional Network for UAV Forest Fire Image Segmentation
Y Mu, L Ou, W Chen, T Liu, D Gao - Drones, 2024 - mdpi.com
Given the escalating frequency and severity of global forest fires, it is imperative to develop
advanced detection and segmentation technologies to mitigate their impact. To address the …
advanced detection and segmentation technologies to mitigate their impact. To address the …
IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture
The main purpose of a detection system is to ascertain the state of an individual's eyes,
whether they are open and alert or closed, and then alert them to their level of fatigue. As a …
whether they are open and alert or closed, and then alert them to their level of fatigue. As a …
Utilizing Grid Data and Deep Learning for Forest Fire Occurrences and Decision Support: A Case Study in the Ningxia Hui Autonomous Region
Y Shao, Q Zhu, Z Feng, L Sun, P Yue, A Wang… - Forests, 2023 - mdpi.com
In order to investigate the geographical distribution of forest fire occurrences in the Ningxia
Hui Autonomous Region, this study employs advanced modeling techniques, utilizing …
Hui Autonomous Region, this study employs advanced modeling techniques, utilizing …
Vegetation Classification and a Biomass Inversion Model for Wildfires in Chongli Based on Remote Sensing Data
F Xu, W Chen, R Xie, Y Wu, D Jiang - Fire, 2024 - mdpi.com
Vegetation classification, biomass assessment, and wildfire dynamics are interconnected
wildfire-ecosystem components. The Chongli District, located in Zhangjiakou City, was the …
wildfire-ecosystem components. The Chongli District, located in Zhangjiakou City, was the …
Data analysis algorithm for internet of things based on federated learning with optical technology
Abstract As the Internet of Things (IoT) progresses, federated learning (FL), a decentralized
machine learning framework that preserves every participant's data privacy, has grown in …
machine learning framework that preserves every participant's data privacy, has grown in …